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Semantic Segmentation

Papers

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Showing 6551–6600 of 14763 papers

TitleStatusHype
Feedback Chain Network For Hippocampus Segmentation—0
Forecasting Future Instance Segmentation with Learned Optical Flow and Warping—0
Backdoor Attacks for Remote Sensing Data with Wavelet TransformCode1
Deep Instance Segmentation and Visual Servoing to Play Jenga with a Cost-Effective Robotic System—0
Bayesian Federated Neural Matching that Completes Full Information—0
DIGEST: Deeply supervIsed knowledGE tranSfer neTwork learning for brain tumor segmentation with incomplete multi-modal MRI scans—0
PAI3D: Painting Adaptive Instance-Prior for 3D Object Detection—0
Robust Deep Learning for Autonomous DrivingCode1
PiPa: Pixel- and Patch-wise Self-supervised Learning for Domain Adaptative Semantic SegmentationCode1
Recursive Cross-View: Use Only 2D Detectors to Achieve 3D Object Detection without 3D Annotations—0
The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images—0
MR-NOM: Multi-scale Resolution of Neuronal cells in Nissl-stained histological slices via deliberate Over-segmentation and Merging—0
EVA: Exploring the Limits of Masked Visual Representation Learning at ScaleCode0
Learning from partially labeled data for multi-organ and tumor segmentationCode1
Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental SegmentationCode1
Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview—0
Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution DetectionCode1
Knowledge Distillation from Cross Teaching Teachers for Efficient Semi-Supervised Abdominal Organ Segmentation in CTCode0
A Comprehensive Survey of Transformers for Computer Vision—0
A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation—0
LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic SegmentationCode1
Harmonizing output imbalance for defect segmentation on extremely-imbalanced photovoltaic module cells images—0
Efficient Unsupervised Video Object Segmentation Network Based on Motion Guidance—0
OneFormer: One Transformer to Rule Universal Image SegmentationCode3
InternImage: Exploring Large-Scale Vision Foundation Models with Deformable ConvolutionsCode4
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation—0
High-Quality Entity SegmentationCode0
Domain-incremental Cardiac Image Segmentation with Style-oriented Replay and Domain-sensitive Feature Whitening—0
Dynamic loss balancing and sequential enhancement for road-safety assessment and traffic scene classification—0
Calibrated Perception Uncertainty Across Objects and Regions in Bird's-Eye-View—0
DepthFormer: Multimodal Positional Encodings and Cross-Input Attention for Transformer-Based Segmentation Networks—0
Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach—0
Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report—0
Exploration of Convolutional Neural Network Architectures for Large Region Map Automation—0
Polite Teacher: Semi-Supervised Instance Segmentation with Mutual Learning and Pseudo-Label Thresholding—0
MogaNet: Multi-order Gated Aggregation NetworkCode2
BriFiSeg: a deep learning-based method for semantic and instance segmentation of nuclei in brightfield imagesCode0
Domain Adaptive Video Semantic Segmentation via Cross-Domain Moving Object MixingCode1
High-Resolution Boundary Detection for Medical Image Segmentation with Piece-Wise Two-Sample T-Test Augmented Loss—0
Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language ModelsCode1
Translated Skip Connections -- Expanding the Receptive Fields of Fully Convolutional Neural NetworksCode0
Quantifying and Learning Static vs. Dynamic Information in Deep Spatiotemporal Networks—0
Quantifying Model Uncertainty for Semantic Segmentation using Operators in the RKHS—0
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation—0
Deep Learning based Defect classification and detection in SEM images: A Mask R-CNN approach—0
MALUNet: A Multi-Attention and Light-weight UNet for Skin Lesion SegmentationCode1
Could Giant Pretrained Image Models Extract Universal Representations?—0
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images—0
Style Augmentation improves Medical Image Segmentation—0
Semantic SuperPoint: A Deep Semantic DescriptorCode1
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All datasetsADE20KNYU-Depth V2Cityscapes testCityscapes valADE20K valPASCAL ContextS3DIS Area5PASCAL VOC 2012 testS3DISScanNetSUN-RGBDDensePASS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InternImage-H (M3I Pre-training)Params (M)1,310—Unverified
2ViT-P (InternImage-H)Validation mIoU63.6—Unverified
3ONE-PEACEValidation mIoU63—Unverified
4InternImage-HValidation mIoU62.9—Unverified
5M3I Pre-training (InternImage-H)Validation mIoU62.9—Unverified
6BEiT-3Validation mIoU62.8—Unverified
7EVAValidation mIoU62.3—Unverified
8ViT-P (OneFormer, InternImage-H)Validation mIoU61.6—Unverified
9ViT-Adapter-L (Mask2Former, BEiTv2 pretrain)Validation mIoU61.5—Unverified
10FD-SwinV2-GValidation mIoU61.4—Unverified